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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Best-Arm Identification in Linear Bandits NeurIPS 2014 Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NeurIPS 2014 Beta Process Multiple Kernel Learning CVPR 2014 Beyond Disagreement-Based Agnostic Active Learning NeurIPS 2014 Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems NeurIPS 2014 Beyond the Regret Minimization Barrier: Optimal Algorithms for Stochastic Strongly-Convex Optimization JMLR 2014 Bias in Natural Actor-Critic Algorithms ICML 2014 Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014 Biclustering Using Message Passing NeurIPS 2014 Black Box Variational Inference AISTATS 2014 Boosting with Online Binary Learners for the Multiclass Bandit Problem ICML 2014 Bounded Regret for Finite-Armed Structured Bandits NeurIPS 2014 Bregman Alternating Direction Method of Multipliers NeurIPS 2014 Bregman Divergences for Infinite Dimensional Covariance Matrices CVPR 2014 Bridging Viterbi and Posterior Decoding: A Generalized Risk Approach to Hidden Path Inference Based on Hidden Markov Models JMLR 2014 Causal Inference through a Witness Protection Program NeurIPS 2014 Clamping Variables and Approximate Inference NeurIPS 2014 Clustering from Labels and Time-Varying Graphs NeurIPS 2014 Clustering Hidden Markov Models with Variational HEM JMLR 2014 Coding for Random Projections ICML 2014 Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014 Color Transfer Using Probabilistic Moving Least Squares CVPR 2014 Combinatorial Pure Exploration of Multi-Armed Bandits NeurIPS 2014 Combining 3D Shape, Color, and Motion for Robust Anytime Tracking RSS 2014 Communication-Efficient Distributed Dual Coordinate Ascent NeurIPS 2014